Objective: To explore the association between the HLA antibody positivity rate in female blood donors and pregnancy history, number of pregnancies, interval from the last pregnancy to blood donation, and age, to identify associated variables using a univariate generalized additive model (GAM), and to further analyze the predictive role of characteristic variables for HLA antibody positivity using a random forest model. Methods: HLA antibody detection was performed on 391 female blood donors using the Luminex immunomagnetic bead method. The correlation between pregnancy-related factors and HLA antibodies was analyzed using the Chi-square test. Based on R software, a univariate GAM was first constructed to analyze the association types between characteristic variables and the HLA antibody positivity rate, followed by the construction of a random forest model to evaluate the predictive value of the variables. Results: Among the 391 female blood donors without a transfusion history, the overall HLA antibody positivity rate was 26.34%. The positivity rate in donors with a pregnancy history was significantly higher than that in those without (30.09% vs 9.72%, P<0.05), and HLA antibody positivity rate increased linearly with the number of pregnancies (P<0.05). In the univariate GAM, age and number of deliveries exhibited a non-linear association with the HLA antibody positivity rate (the positivity rate increased sharply between 25-35 years of age and stabilized after 3 deliveries). Besides, the interval from the last pregnancy to blood donation showed a linear association with the HLA antibody positivity rate, and the positivity rate decreased as the interval prolonged (P<0.05). In the random forest model, age (mean decrease gini=29.26) and interval from the last pregnancy to blood donation (mean decrease gini=22.02) were core predictive variables: age was more conducive to identifying positive samples, while the interval from the last pregnancy to blood donation was more helpful for excluding negative samples. The number of deliveries (mean decrease accuracy=16.98) made a significant contribution to predicting positive samples, whereas the number of abortions had no impact. The model had an AUC of 0.583 (95% CI: 0.593 8-0.770 2), indicating a certain predictive value. Conclusion: The associated variables identified by the univariate GAM model, including age, interval from the last pregnancy to blood donation, and number of deliveries, provide a basis for key variables in the random forest model. All three variables have predictive value for HLA antibody positivity, which can provide evidence-based support for personalized transfusion management and stratified screening of female blood donors in this region.

Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

Objective: To understand the current status of tuberculosis prevention and control knowledge and perceived stress among college and middle school students with pulmonary tuberculosis (PTB) in Yantai City, and to analyze the related factors, so as to provide a basis for the school to carry out health education and psychological counseling. Methods: A matched case control study was conducted, with 100 PTB student patients in junior high school and above who were diagnosed at designated medical institutions from October 2020 to October 2024. Four healthy control students of the same gender, same dormitory, or same class were selected for each case. Therefore, 100 cases and 400 controls were investigated by questionnaire. The following information was collected: personal basic information; tuberculosis prevention and control awareness; and scores of the Chinese Perceived Stress Scale (CPSS). Conditional Logistic regression model and mixed linear models were used to compare the PTB prevention and control awareness rate, as well as the perceived stress between the case and control groups. Multiple linear regression analysis was used to analyze the factors that may affect the perceived stress of students with PTB. Results: The awareness rates of four tuberculosis knowledge items (symptoms of PTB, main causes of onset after infection, consequences of PTB patients not receiving standardized and complete treatment, the most important method to prevent PTB) were higher in the case group (40.00%, 72.00% , 38.00%, 49.00%) than the control group (21.50%, 57.50%, 22.25%, 31.25%) and the differences were statistically significant ( Wald χ 2=18.44, 8.78, 13.20, 16.89, all P <0.01). The tension score (10.49±4.20), loss of control score ( 11.21± 4.58), and total score (21.70±6.88) in the case group were higher than the control group (9.35±4.73, 9.75±5.60, 19.09±8.36) and the differences were statistically significant ( t =2.21, 2.42, 2.88, all P <0.05). The results of multiple linear regression analysis showed that age ≥ 18 years and family history of tuberculosis were the related factors affecting the overall perceived stress and tension of college and middle school students with PTB ( B total scores =4.50, 5.91; B tension score =2.39, 3.23, all P <0.05). Conclusions The tuberculosis prevention and control awareness rate, and the perceived stress of college and middle school students with PTB in Yantai are both higher than students without tuberculosis. Moreover, the perceived stress of students with PTB who are aged ≥18 years or have a family history of tuberculosis is even higher.

OBJECTIVES: To explore the effects of exogenous trigger (hCG/GnRHa) versus endogenous LH surge in natural cycle IVF/ICSI (NC-IVF/ICSI) for patients with diminished ovarian reserve (DOR). METHODS: A retrospective analysis was conducted on 1,118 NC-IVF/ICSI cycles from two reproductive centers between 2013 and 2024. Propensity score matching (PSM) and multivariate logistic regression were used to adjust for confounding factors. The trigger-day hormone threshold was determined using receiver operating characteristic (ROC) curve analysis. Outcome measures included oocyte retrieval rate, 2PN fertilization rate, clinical available embryo rate, high-quality embryo rate, fresh cycle clinical pregnancy rate (CPR), and live birth rate (LBR). RESULTS: After adjusting for confounders via PSM and logistic regression, the exogenous trigger group demonstrated significantly better outcomes across all the evaluated parameters (oocyte retrieval rate, 2PN fertilization rate, transferable embryo rate, high-quality embryo rate, fresh cycle CPR, and LBR) than the endogenous LH surge group (P<0.05). Age-stratified analysis revealed that for the entire cohort, exogenous triggering significantly increased the number of transferable embryos and high-quality embryos (P<0.001). In the 35-39 years old subgroup, exogenous triggering showed significant advantages in oocyte yield, high-quality embryo rate, CPR, and LBR (P<0.05) and resulted in the most pronounced improvement in LBR (OR=6.25, 95% CI: 1.34-29.23). ROC analysis established a decision-day LH threshold of 19.055 mIU/mL (AUC=0.945, specificity=93.3%) for precise stratification of the clinical pathways. CONCLUSIONS For DOR patients undergoing NC-IVF/ICSI, exogenous triggering comprehensively improves the treatment outcomes, particularly providing significant live birth benefits for women aged 35-40 years. An individualized protocol incorporating the LH threshold (19.055 mIU/mL) effectively enhances embryonic developmental potential and live birth rates.
Humans ; Female ; Ovarian Reserve ; Pregnancy ; Propensity Score ; Retrospective Studies ; Fertilization in Vitro ; Sperm Injections, Intracytoplasmic ; Chorionic Gonadotropin ; Pregnancy Rate ; Logistic Models ; Ovulation Induction/methods* ; Gonadotropin-Releasing Hormone ; Adult ; Oocyte Retrieval

CD46 is a type Ⅰ transmembrane glycoprotein that participates in the classical pathway and alternative complement activation cascade in the innate immune system. CD46 is highly expressed on the surface of various tumor cells，playing a significant role in promoting tumor progression and immune evasion. Studies have found that the expression level of CD46 is closely related to the prognosis and immunotherapy outcomes of multiple tumors. Inhibition of CD46 expression or function can enhance the sensitivity of tumor cells to oncolytic adenovirus therapy，among others. However，the clinical application of CD46 in tumor immunotherapy still faces some challenges. This review summarizes the research progress in CD46 in tumor immunotherapy，aiming to further explore the mechanisms of CD46 and the clinical potential of potential therapeutic targets.

OBJECTIVE: To evaluate the effectiveness of functional perforator flaps utilizing the superficial circumflex iliac artery as a vascular pedicle, as well as chimeric iliac bone flaps, in the reconstruction of composite tissue defects in the hand and foot. METHODS: A retrospective review of the clinical data from 13 patients suffering from severe hand or foot injuries, treated between May 2019 and January 2025, was conducted. The cohort comprised 8 males and 5 females, with ages ranging from 31 to 67 years (mean, 48.5 years). The injuries caused by mechanical crush incidents (n=9) and traffic accidents (n=4). The distribution of injury sites included 8 cases involving the hand and 5 cases involving the foot. Preoperatively, all patients exhibited bone defects ranging from 2.0 to 6.5 cm and soft tissue defects ranging from 10 to 210 cm². Reconstruction was performed using functional perforator flaps based on the superficial circumflex iliac artery and chimeric iliac bone flaps. The size of iliac bone flaps ranged from 2.5 cm×1.0 cm×1.0 cm to 7.0 cm×2.0 cm×1.5 cm, while the size of the soft tissue flaps ranged from 4 cm×3 cm to 15 cm×8 cm. In 1 case with a significant hand defect, a posterior interosseous artery perforator flap measuring 10.0 cm×4.5 cm was utilized as an adjunct. Likewise, an anterolateral thigh perforator flap measuring 25 cm×7 cm was combined in 1 case involving a foot defect. All donor sites were primarily closed. Postoperative flap survival was monitored, and bone healing was evaluated through imaging examination. Functional outcomes were assessed based on the location of the defects: for hand injuries, grip strength, pinch strength, and flap two-point discrimination were measured; for foot injuries, the American Orthopaedic Foot & Ankle Society (AOFAS) score, visual analogue scale (VAS) score, Maryland Foot Score, plantar pressure distribution and gait symmetry index (GSI) were evaluated. RESULTS: All flaps survived completely, with primary healing observed at both donor and recipient sites. All patients were followed up 6-18 months (mean, 12.2 months). No significant flap swelling or deformity was observed. Imaging examination showed a bone callus crossing rate of 92.3% (12/13) at 3 months after operation, and bone density recovered to more than 80% of the healthy side at 6 months. The time required for bone flap integration ranged from 2 to 6 months (mean, 3.2 months). One patient with a foot injury exhibited hypertrophic scarring at the donor site; however, no major complication, such as infection or bone nonunion, was noted. At 6 months after operation, grip strength in 8 patients involving the hand recovered to 75%-90% of the healthy side (mean, 83.2%), while pinch strength recovered to 70%-85% (mean, 80%). Flap two-point discrimination ranged from 8 to 12 mm, approaching the sensory capacity of the healthy side (5-8 mm). Among the 5 patients involving the foot, the AOFAS score at 8 months was 80.5±7.3, VAS score was 5.2±1.6. According to the Maryland Foot Score, 2 cases were rated as excellent and 3 as good. Gait analysis at 6 months after operation showed GSI above 90%, with plantar pressure distribution closely resembling that of the contralateral foot. CONCLUSION The use of functional perforator flaps based on the superficial circumflex iliac artery, combined with chimeric iliac bone flaps, provides a reliable vascular supply and effective functional restoration for the simultaneous repair of composite bone and soft tissue defects in the hand or foot. This technique represents a viable and effective reconstructive option for composite tissue defects in these anatomical regions.
Humans ; Male ; Middle Aged ; Female ; Perforator Flap/transplantation* ; Adult ; Plastic Surgery Procedures/methods* ; Hand Injuries/surgery* ; Aged ; Retrospective Studies ; Foot Injuries/surgery* ; Ilium/transplantation* ; Iliac Artery/surgery* ; Soft Tissue Injuries/surgery* ; Bone Transplantation/methods* ; Treatment Outcome

The cultivation of innovation ability is not only the essential requirement of graduate education,but also the strate-gic demand of the development of the communist party and our country,and is of great significance to the realization of the Chinese dream of the great rejuvenation of the Chinese nation.Curriculum ideology and politics should run through the whole process of post-graduate innovation ability training.However,the curriculum ideology and politics and postgraduate innovation ability training lack deep integration.It's important for postgraduates'growth and scientific research innovation that the curriculum ideology and politics covers the whole process of scientific research activities.Therefore,this paper focuses on the design and specific implementation schemes of the curriculum ideology and politics on the postgraduate innovative ability training at the respiratory disease research team in the department of medical immunology.It makes a basis for optimizing postgraduate curriculum ideology and politics teaching in the future,which also provides ideas for cultivating innovative talents with both morality and ability in medical specialty.

Objective:s To investigate the risk factors for delayed encephalopathy after acute carbon monoxide poisoning (DEACMP) in patients with acute carbon monoxide poisoning (ACOP) and to develop predictive models based on machine learning algorithms.Methods:Patients with ACOP hospitalized at the First Affiliated Hospital of Zhengzhou University from August 2019 to October 2024 were included, with the occurrence of DEACMP as the outcome measure. The dataset was randomly divided into training and validation sets at a ratio of 7:3. Lasso regression was used to select features influencing the outcome in training sets. Nine machine learning models—including Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)—were constructed. Receiver operating characteristic (ROC) curves were plotted and the area under the curve (AUC) calculated for each model. Calibration curves were used to assess accuracy, and decision curve analysis (DCA) was applied to evaluate clinical utility. The SHapley Additive exPlanations (SHAP) method was employed to visualize and interpret the best-performing model.Results:A total of 264 ACOP patients were included, of whom 54 (20.5%) developed DEACMP. Lasso regression identified eight key feature variables. Based on these factors, predictive models were constructed, showing good AUC stability across the nine machine learning models in both training (0.92–0.99) and validation sets (0.85–0.91). The RF model performed best, with an AUC of 0.99 in the training set and 0.90 in the validation set; its calibration curve and DCA curve also demonstrated excellent performance. SHAP analysis of the RF model revealed the importance ranking of factors from highest to lowest as follows: Glasgow Coma Scale (GCS) score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, diastolic blood pressure (DBP), and drinking history.Conclusions:The RF model exhibited the highest predictive performance for DEACMP occurrence in ACOP patients. The influencing factors, ranked in order of importance from highest to lowest, are as follows: GCS score, duration of coma, age, history of coronary heart disease, CK-MB level, monocyte count, DBP, and drinking history.

Objective:To investigate the incidence, risk factors, and outcomes of falls among the elderly community population in Beijing.Methods:A cross-sectional survey was conducted using stratified multistage random sampling to select urban and rural residents aged 65 years and older in Beijing. Mortality data was collected after the baseline survey for 5 years. The incidence of falls was weighted based on the composition ratios of age and gender from the 2010 Nation-wide Population Census of Beijing. A logistic regression model was used to analyze the impacts of demographic sociology of common chronic diseases on fall occurrence. The Cox proportional hazards regression model was used to analyze the fall and 5-year survival association.Results:A total of 2 968 participants completed the questionnaire, at cross-sectional survey, with an average age of (73.2±6.0) years, and 1 581 (53.8%) participants were female. Three hundred and sixty-one individuals experienced a fall within the past year. Among those who fell, 64 (17.7%) fell twice, and 95 (26.6%) fell three or more times. Of them, 14.4% (52) had post-fall fractures, with the wrist, knee, and hip being the most common fracture sites, accounting for 25.0%, 17.3%, and 15.4%, respectively. The weighted fall incidence was 12.4% (95% CI: 11.2%-13.5%). Aging, being female, and living in rural areas were more likely to fall. Logistic regression analysis showed that after adjusting for age, gender, and urban-rural status, the risk of falls for those living alone ( OR=1.48, 95% CI: 1.08-2.04) or living with children/grandchildren ( OR=1.51, 95% CI: 1.15-1.97) were significantly higher than those living with their spouse. In addition, the risk of falls was elevated significantly among the elderly with hypertension, diabetes, stroke, dementia, depression status, urinary incontinence, arthritis, insomnia, vision, and hearing loss, dependence on activities of daily living (ADL), general and poor self-rated health (SRH). The Cox proportional hazard regression model revealed that the 5-year risk of death increased by 65% ( HR=1.65, 95% CI: 1.29-2.11) for those who experienced a fall, which increased with fall frequency. This elevated risk persisted after adjusting for chronic conditions, ADL, and SRH. Conclusions:Ageing, female, living in rural regions, having common chronic diseases, dependence on ADL, general and poor SRH, living alone or living with children/grandchildren were associated with the elevated fall risk. The occurrence of fall was seasonal. The most common short-term adverse consequence after a fall was fractures, while the long-term effect was an increased risk of death.

Objective:To investigate the incidence, risk factors, and outcomes of falls among the elderly community population in Beijing.Methods:A cross-sectional survey was conducted using stratified multistage random sampling to select urban and rural residents aged 65 years and older in Beijing. Mortality data was collected after the baseline survey for 5 years. The incidence of falls was weighted based on the composition ratios of age and gender from the 2010 Nation-wide Population Census of Beijing. A logistic regression model was used to analyze the impacts of demographic sociology of common chronic diseases on fall occurrence. The Cox proportional hazards regression model was used to analyze the fall and 5-year survival association.Results:A total of 2 968 participants completed the questionnaire, at cross-sectional survey, with an average age of (73.2±6.0) years, and 1 581 (53.8%) participants were female. Three hundred and sixty-one individuals experienced a fall within the past year. Among those who fell, 64 (17.7%) fell twice, and 95 (26.6%) fell three or more times. Of them, 14.4% (52) had post-fall fractures, with the wrist, knee, and hip being the most common fracture sites, accounting for 25.0%, 17.3%, and 15.4%, respectively. The weighted fall incidence was 12.4% (95% CI: 11.2%-13.5%). Aging, being female, and living in rural areas were more likely to fall. Logistic regression analysis showed that after adjusting for age, gender, and urban-rural status, the risk of falls for those living alone ( OR=1.48, 95% CI: 1.08-2.04) or living with children/grandchildren ( OR=1.51, 95% CI: 1.15-1.97) were significantly higher than those living with their spouse. In addition, the risk of falls was elevated significantly among the elderly with hypertension, diabetes, stroke, dementia, depression status, urinary incontinence, arthritis, insomnia, vision, and hearing loss, dependence on activities of daily living (ADL), general and poor self-rated health (SRH). The Cox proportional hazard regression model revealed that the 5-year risk of death increased by 65% ( HR=1.65, 95% CI: 1.29-2.11) for those who experienced a fall, which increased with fall frequency. This elevated risk persisted after adjusting for chronic conditions, ADL, and SRH. Conclusions:Ageing, female, living in rural regions, having common chronic diseases, dependence on ADL, general and poor SRH, living alone or living with children/grandchildren were associated with the elevated fall risk. The occurrence of fall was seasonal. The most common short-term adverse consequence after a fall was fractures, while the long-term effect was an increased risk of death.